Dataset Information

Great Lakes Runoff Intercomparison Project Phase 3: Lake Erie (GRIP-E).

ABSTRACT: Hydrologic model intercomparison studies help to evaluate the agility of models to simulate variables such as streamflow, evaporation, and soil moisture. This study is the third in a sequence of the Great Lakes Runoff Intercomparison Projects. The densely populated Lake Erie watershed studied here is an important international lake that has experienced recent flooding and shoreline erosion alongside excessive nutrient loads that have contributed to lake eutrophication. Understanding the sources and pathways of flows is critical to solve the complex issues facing this watershed. Seventeen hydrologic and land-surface models of different complexity are set up over this domain using the same meteorological forcings, and their simulated streamflows at 46 calibration and seven independent validation stations are compared. Results show that: (1) the good performance of Machine Learning models during calibration decreases significantly in validation due to the limited amount of training data; (2) models calibrated at individual stations perform equally well in validation; and (3) most distributed models calibrated over the entire domain have problems in simulating urban areas but outperform the other models in validation.

SUBMITTER: Mai J

PROVIDER: S-EPMC8422881 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature

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Publications

Great Lakes Runoff Intercomparison Project Phase 3: Lake Erie (GRIP-E).

Mai Juliane J Tolson Bryan A BA Shen Hongren H Gaborit Étienne É Fortin Vincent V Gasset Nicolas N Awoye Hervé H Stadnyk Tricia A TA Fry Lauren M LM Bradley Emily A EA Seglenieks Frank F Temgoua André G T AGT Princz Daniel G DG Gharari Shervan S Haghnegahdar Amin A Elshamy Mohamed E ME Razavi Saman S Gauch Martin M Lin Jimmy J Ni Xiaojing X Yuan Yongping Y McLeod Meghan M Basu Nandita B NB Kumar Rohini R Rakovec Oldrich O Samaniego Luis L Attinger Sabine S Shrestha Narayan K NK Daggupati Prasad P Roy Tirthankar T Wi Sungwook S Hunter Tim T Craig James R JR Pietroniro Alain A

Journal of hydrologic engineering 20210901 9

Hydrologic model intercomparison studies help to evaluate the agility of models to simulate variables such as streamflow, evaporation, and soil moisture. This study is the third in a sequence of the Great Lakes Runoff Intercomparison Projects. The densely populated Lake Erie watershed studied here is an important international lake that has experienced recent flooding and shoreline erosion alongside excessive nutrient loads that have contributed to lake eutrophication. Understanding the sources ...[more]

PMID: 34497453

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Project description:Microcystins are potent hepatotoxins that are frequently detected in fresh water lakes plagued by toxic cyanobacteria. Microbial biodegradation has been referred to as the most important avenue for removal of microcystin from aquatic environments. The biochemical pathway most commonly associated with the degradation of microcystin is encoded by the mlrABCD (mlr) cassette. The ecological significance of this pathway remains unclear as no studies have examined the expression of these genes in natural environments. Six metatranscriptomes were generated from microcystin-producing Microcystis blooms and analyzed to assess the activity of this pathway in environmental samples. Seventy-eight samples were collected from Lake Erie, United States/Canada and Lake Tai (Taihu), China, and screened for the presence of mlr gene transcripts. Read mapping to the mlr cassette indicated transcripts for these genes were absent, with only 77 of the collective 3.7 billion reads mapping to any part of the mlr cassette. Analysis of the assembled metatranscriptomes supported this, with only distantly related sequences identified as mlrABC-like. These observations were made despite the presence of microcystin and over 500,000 reads mapping to the mcy cassette for microcystin production. Glutathione S-transferases and alkaline proteases have been previously hypothesized to be alternative pathways for microcystin biodegradation, and expression of these genes was detected across space and time in both lakes. While the activity of these alternative pathways needs to be experimentally confirmed, they may be individually or collectively more important than mlr genes in the natural environment. Importantly, the lack of mlr expression could indicate microcystin biodegradation was not occurring in the analyzed samples. This study raises interesting questions about the ubiquity, specificity and locality of microcystin biodegradation, and highlights the need for the characterization of relevant mechanisms in natural communities to understand the fate of microcystin in the environment and risk to public health.

Dataset Information

Great Lakes Runoff Intercomparison Project Phase 3: Lake Erie (GRIP-E).

Publications

Great Lakes Runoff Intercomparison Project Phase 3: Lake Erie (GRIP-E).

Similar Datasets

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